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Greenhouse gas emissions and wastewater treatment performance by three plant species in subsurface flow constructed wetland mesocosms

  • Xin Chen
  • , Hui Zhu*
  • , Baixing Yan
  • , Brian Shutes
  • , Defeng Xing
  • , Gary Banuelos
  • , Rui Cheng
  • , Xinyi Wang
  • *Corresponding author for this work
  • CAS - Northeast Institute of Geography and Agricultural Ecology
  • University of Chinese Academy of Sciences
  • Middlesex University
  • School of Environment, Harbin Institute of Technology
  • United States Department of Agriculture

Research output: Contribution to journalArticlepeer-review

Abstract

Greenhouse gas (GHG) emissions from constructed wetlands (CWs) have raised environmental concern and thus offset their environmental and ecological benefits. This study evaluated the influence of plant species, i.e., Canna indica (C. indica), Cyperus alternifolius (C. alternifolius), Phragmites australis (P. australis) and unplanted control, on GHG emissions, pollutant removal and associated microbial abundance in subsurface flow constructed wetland (SSFCW) mesocosms. C. indica outperformed the other tested plant species in pollutant removal, and the presence of plants irrespective of species enhanced the removal efficiencies of nitrogen, phosphorus and organics in SSFCW mesocosms compared to unplanted control. The greatest carbon dioxide (CO2) flux (582.01 ± 89.25 mg/m2/h), methane (CH4) flux (21.88 ± 2.51 μg/m2/h) and nitrous oxide (N2O) flux (37.27 ± 15.82 μg/m2/h) were observed in mesocosms planted with C. indica, P. australis and C.alternifolius, respectively. Unexpectedly, the mcrA and pmoA genes were not detected in any mesocosms. For denitrifiers, the N2O fluxes showed a significantly (p < 0.05) positive correlation with nirS and nirK genes abundance. The abundance of nosZ gene (ranged from 0.18 × 104 to 0.75 × 104 copies/mg gravel) and nosZ/(nirS + nirK) (ranged from 1.29 × 10−4 to 2.12 × 10−4 copies/mg gravel) in this study was lower than that in most reported studies. Regarding the global warming potential (GWP), the lowest value was observed in mesocosms planted with C. indica. In conclusion, C. indica is selected as the optimal plant species in this study due to its lower GWP and excellent pollutant removal performance.

Original languageEnglish
Article number124795
JournalChemosphere
Volume239
DOIs
StatePublished - Jan 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Functional genes abundance
  • Greenhouse gas emissions
  • Plant optimization
  • Subsurface flow constructed wetlands
  • Water purification

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